Leads Mastercard’s global AI Engineering organization within the AI Center of Excellence. Oversees end-to-end delivery and scaling of enterprise AI products, agentic AI solutions, reusable AI assets, and automation capabilities. Partners across engineering, infrastructure, data, security, architecture, risk, product, and business teams to ensure secure, reliable, governed production deployments. Drives adoption, measurable business outcomes, operational excellence, and responsible AI practices while developing a global organization of AI engineering leaders and technical talent.

Architect and lead enterprise AI infrastructure supporting LLM training and inference, machine learning, agentic AI, and production AI platforms. Define technical standards across HPC, GPUs, Kubernetes, hybrid cloud, networking, storage, reliability, observability, security, and governance. Solve complex performance and scalability challenges, evaluate emerging technologies, lead cross-functional initiatives, and mentor engineers in a highly regulated environment.